CN119312453A - A method and system for quantifying the impact of construction uncertainty on construction carbon emissions - Google Patents
A method and system for quantifying the impact of construction uncertainty on construction carbon emissions Download PDFInfo
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Abstract
The invention provides a method and a system for quantifying influence degree of construction uncertainty on construction carbon emission, and belongs to the field of carbon emission calculation. The method aims to solve the problems that the existing construction carbon emission is based on static estimation of construction organization design and construction drawings, and data deviation caused by uncertainty influence in the construction process is not considered. The construction theoretical consumption data and the construction actual consumption data are collected, the construction theoretical consumption data and the construction actual consumption data are respectively subjected to data statistics according to resource consumption types or structural parts, then difference values are made between the construction theoretical consumption data and the construction actual consumption data and multiplied by corresponding carbon emission factors, further the degree of influence on construction uncertainty is quantized, difference analysis is carried out on quantized data, early warning prompt is carried out according to the problems of strength, proportion overrun and abnormal fluctuation of influence of the construction uncertainty, rapid quantization analysis of influence of various construction projects on construction carbon emission due to the construction uncertainty is facilitated, and management guidance and decision basis are provided for construction management and low-carbon construction.
Description
Technical Field
The invention relates to the technical field of carbon emission calculation, in particular to a method and a system for quantifying influence degree of construction uncertainty on construction carbon emission.
Background
The current carbon emission measurement of building construction activities mainly comprises material carbon emission statistics based on BIM models or design drawings, and manual and mechanical carbon emission statistics based on construction organization design, construction quota and construction experience. The construction quota refers to the number standard of labor force, materials and mechanical shifts consumed by building installers or groups to complete unit qualified products under normal construction conditions. I.e. normally, for a certain engineering task, the work load that can be done by a machine, a shift or a construction worker, a working day is averaged. However, in the case of material carbon emission statistics, there are two problems, namely, on the one hand, static construction carbon emission estimation based on project-specific design data, and on the other hand, theoretical value measurement in which the influence of construction uncertainty is ignored.
In the actual construction process, the building materials have a certain degree of loss in the construction process, and the utilization rate of the non-lost parts is difficult to reach 100 percent. The loss rate and the utilization rate are influenced by construction conditions, construction level, worker quality and various construction uncertainties of management modes, and the loss rate and the utilization rate show larger randomness in a certain range. Therefore, it is difficult to accurately represent the actual consumption of the building material by using the average or usual loss rate and utilization rate. The mechanical carbon emission factor determined by the mechanical type and performance specification represents the average energy consumption of a mechanical shift, and the carbon emission factor ignores various uncertainty influences such as mechanical working efficiency, load fluctuation, mechanical health state, operator level and the like, and has larger deviation from an actual value. On the other hand, the number of the mechanical shifts required by the project is often estimated based on the construction quota and the construction experience, and the number is greatly influenced by construction uncertainty, so that the real mechanical energy consumption cannot be accurately reflected. The metering result of the current common construction carbon emission metering method is greatly different from the actual construction carbon emission metering result, but the specific reasons for how great and what are the differences can be demonstrated only through detailed data analysis.
The prior patent relates to a method for evaluating uncertainty of a road construction carbon emission result based on a model method (application number: CN 202211073263.6), which is used for comprehensively evaluating uncertainty of a greenhouse gas emission result and comprises parameter uncertainty, model uncertainty and scene selection uncertainty. The method comprises the steps of performing qualitative evaluation on data quality according to a data quality evaluation matrix, giving weight to the data by utilizing Beta distribution and combining an improved analytic hierarchy process, converting input parameters into probability density functions, dividing model uncertainty into model parameter uncertainty and model form uncertainty, evaluating the model parameter uncertainty by combining Bayesian inference and slice sampling, evaluating the model form uncertainty according to model difference before and after orthogonal polynomial correction, and performing scene selection uncertainty evaluation by adopting sensitivity analysis-multiple scenario analysis. The above patent refers to the evaluation of uncertainty of data in the result of road construction emission, and involves fewer construction steps and less complexity, and is not used for construction with more steps and higher complexity. And the average level under certain conditions is represented by calculation by a quota/idealization model, but the actual data often has larger fluctuation, so that the data acquired by the method has a certain deviation from the activity level under the actual construction condition. In addition, the existing carbon emission estimation needs to consider the influence of a plurality of factors such as equipment model, equipment health condition, management level, construction project condition and the like, so that the activity level models of the construction procedures in different construction projects have certain difference, and the reliability of acquiring data by using a single model is insufficient.
Disclosure of Invention
The invention aims to solve the technical problems that:
The method aims to solve the problems that the existing carbon emission estimation is calculated by a quota/idealized model, is not suitable for actual data with large fluctuation, needs to consider various actual construction factors, and is insufficient in reliability of acquiring data by using a single model.
The invention adopts the technical scheme for solving the technical problems:
the invention provides a method for quantifying the influence degree of construction uncertainty on construction carbon emission, which comprises the following steps:
S100, collecting construction theoretical consumption data, wherein the construction theoretical consumption data comprise material theoretical consumption, mechanical energy theoretical consumption and manual shift theoretical consumption;
S200, collecting construction actual consumption data, wherein the construction actual consumption data comprise material actual consumption, mechanical energy actual consumption and manual shift actual consumption corresponding to the construction theoretical consumption data in the step S100;
S300, quantifying the influence degree of construction uncertainty, calculating a difference value according to category classification for the construction theoretical consumption data acquired in the step S100 and the construction actual consumption data acquired in the step S200, and multiplying the difference value by a corresponding carbon emission factor to quantify the influence degree of construction uncertainty of a corresponding part on construction carbon emission;
s400, analyzing the construction uncertainty influence obtained in the step S300, drawing a multi-element icon display by calculating the total difference value, the difference proportion, the positive difference condition and the negative difference condition of the theoretical value and the actual value under each category, enabling the platform to perform abnormal early warning prompt according to the intensity, the proportion overrun and the abnormal fluctuation problem of the construction uncertainty influence, performing difference reason analysis by combining longitudinal difference comparison based on time spans and transverse difference comparison based on related items/types, and providing construction management suggestion for focusing on key links and optimizing emission reduction strategies according to the difference reason analysis.
Further, in step S100, it includes:
The theoretical consumption of the material is calculated by means of component data derived from a 3D BIM model of a construction project:
Wherein, Representing the theoretical total consumption of building material i (host material or turnover material); representing the model usage of building material i (host material or turnover material) derived by 3D BIM model; Representing the theoretical recovery coefficient of the building material i selected according to the specifications and literature; The theoretical loss rate of the building material i selected according to the specifications and literature is represented; The turnover number of the building material i is represented, the turnover number of the main material is 1, and the turnover number of the turnover material is valued according to the standard specification;
The mechanical energy theoretical consumption comprises material off-site transportation energy theoretical consumption and on-site mechanical construction theoretical energy consumption, the material off-site transportation energy theoretical consumption is obtained according to the transportation distance, the load and the mechanical hundred kilometer energy consumption, and the on-site mechanical construction energy theoretical consumption is calculated according to the time and the quantity of the entering and exiting fields in a mechanical resource schedule:
Wherein, Represents the theoretical total consumption of the energy source class i; representing the quantity of consumed energy i per unit distance under the rated load capacity of the transport machinery type specification j; representing the equivalent total transport distance of the transport machinery under the rated load capacity of the type specification j; representing the quantity of consumed energy i of each working table of the construction machine type specification k; representing the equivalent work table number of the construction machine type specification k; A shift correction coefficient representing a construction machine type specification k; Representing the total weight of building materials transported to a construction site from a transportation point I by the transportation machine type specification j; a rated load capacity representing a transport machine type specification j; Representing the equivalent transportation times from the transportation point l to the construction site of the transportation machine type specification j, and rounding up the times; s Machine for making food represents a distance from the transportation point l to the construction site; representing the entry date of machine h in construction machine type specification k; Representing the departure date of machine h in construction machine type specification k;
The theoretical consumption of the manual shift is obtained according to a human resource input plan:
Wherein, Representing theoretical total artificial daily consumption of the worker species i; a work day correction coefficient representing a worker work species i; Representing the number of workers of worker class i in a period of t j; Representing construction duration.
Further, in step S200, the acquisition of the actual consumption of the material includes,
For the project without the steel bar processing area and the concrete mixing station, a part of building materials are input through an intelligent wagon balance, and the rest part of building materials are directly input through a steel number intelligent processing center/concrete intelligent mixing station outside the project, wherein the building material consumption without secondary processing is obtained through the intelligent wagon balance;
for the project without a steel bar processing area and a concrete mixing station and the project with a steel number intelligent processing center/a concrete intelligent mixing station, the calculation formulas of the consumption of project building materials by utilizing the intelligent wagon balance are as follows:
Wherein, Representing the actual total consumption of the project building material i obtained by the intelligent wagon balance; Representing the total input of the project building material i obtained by the intelligent wagon balance; representing the recovered excess material quantity of the project building material i obtained by the intelligent wagon balance; Representing the amount of recycled waste of the project building material i obtained by the intelligent wagon balance;
Wherein:
Wherein, Representing the mechanical dead weight of the mth transportation and the weight of the loaded building material when the building material i measured by the intelligent wagon balance is input into the project; The mechanical dead weight of the mth transportation when the building material i measured by the intelligent wagon balance is input into the project is shown; representing the mechanical dead weight and the weight of the loaded building material when the building material i remainder is output from the project, which are measured by the intelligent wagon balance, for the nth transportation; The mechanical dead weight of the nth transportation is shown when the i remainder of the building material measured by the intelligent wagon balance is output to the project; Representing the mechanical dead weight of the v-th transportation and the weight of the loaded building material when the building material i waste measured by the intelligent wagon balance is output to the project; the mechanical dead weight of the v-th transportation when the building material i waste measured by the intelligent wagon balance is output to the project is shown;
for projects without a steel bar processing area and a concrete mixing station, the consumption of the secondary processing building materials obtained by a steel number intelligent processing center/concrete intelligent mixing station ordering system is as follows:
Wherein, Representing the actual total consumption of the secondary processing building material j of the project, which is acquired by a steel material number intelligent processing center/concrete intelligent mixing station ordering system; The input quantity of the t th batch of the secondary processing building materials j of the project, which is acquired by a steel material number intelligent processing center/concrete intelligent mixing station ordering system, is represented; The loss rate of the t-th processing process of the secondary processing building material j obtained by a steel material number intelligent processing center/concrete intelligent mixing station ordering system is represented; Representing the total output of the t th batch of secondary processing building materials j obtained by a steel material number intelligent processing center/concrete intelligent mixing station ordering system; The total input of the raw materials of the t th batch of the secondary processing building materials j obtained by a steel material number intelligent processing center/concrete intelligent mixing station ordering system is shown.
Further, in step S200, the collection of the actual consumption of the mechanical energy includes collection of an off-site transportation activity and collection of an on-site construction activity, the off-site transportation activity is oil consumption, the on-site construction activity is divided into power consumption and oil consumption, the power consumption data are obtained by installing a power monitoring device at a unified power supply hub to obtain power consumption data and accumulated power consumption data implemented by a project, the oil consumption data collection includes that for a mechanical device installed with a fuel consumption monitoring device in the project, data collection is carried out by carrying out mechanical working state, real-time fuel consumption condition and accumulated fuel consumption condition through the fuel consumption monitoring device, for a mechanical device not installed with the fuel consumption monitoring device in the project, daily/weekly/monthly fuel consumption data of the mechanical device are obtained by adopting unified management of oil, and in addition, for the mechanical energy consumption generated by the off-site transportation of building materials, the material weight, transportation track route, average speed, vehicle type and other information of each vehicle reaching the construction site are required to be calculated by combining with intelligent wagon weight, and finally the mechanical energy consumption generated by the off-site transportation is obtained.
Further, the collection of the actual consumption of the mechanical energy comprises collection of electric consumption data and oil consumption data, specifically comprising,
Wherein, Representing the actual total consumption of the energy class i; representing the quantity of consumed energy i per unit distance under the rated load capacity of the transport machinery type specification j; Representing the path mileage of the machine h in the transport machine type specification j during the p-th transport; Representing the load capacity of the machine h in the p-th transportation in the transportation machine type specification j; a rated load capacity representing a transport machine type specification j; Representing a speed correction coefficient of the machine h in the p-th transportation in the transportation machine type specification j; representing the quantity of energy i consumed by the machine h in the construction machine type specification k in the t period; representing the amount of energy i consumed in the period t of the construction machine in which the fuel consumption detection device is not installed.
Further, in step S200, the actual consumption data of the manual shift is obtained through the access control system or the attendance system to the data of constructors and manager participating in project construction every day,
Wherein, Representing the actual total worker daily consumption of the worker species i; Representing the working time of a worker h on a j th day in a worker species i; representing the time of work hours of the j th day of the worker h in the artificial species i.
Further, in step S300, specifically including,
S310, a total difference value calculation formula:
ΔC=ΔC Material and method for producing the same +ΔC Machine for making food +ΔC Human body (14)
Wherein ΔC represents the total difference between theoretical and actual carbon emissions, ΔC Material and method for producing the same represents the difference between theoretical and actual carbon emissions of the material, ΔC Machine for making food represents the difference between mechanical and actual carbon emissions, and ΔC Human body represents the difference between artificial and actual carbon emissions;
Total difference proportion calculation formula:
Wherein C Theory of represents the theoretical total carbon emission, eta represents the degree of influence of the overall construction uncertainty;
s320, for the material differences,
And a material carbon emission difference value calculation formula:
Wherein, Represents the carbon emission factor of material i;
calculating according to the material types, and calculating a material carbon emission difference proportion formula:
Wherein, Representing the degree of influence of the construction uncertainty generated by the material i;
s330, for the difference of mechanical energy consumption,
Mechanical energy consumption carbon emission difference calculation formula:
Wherein, A carbon emission factor representing the energy class i;
Calculating according to the energy types, and calculating a mechanical energy consumption carbon emission difference proportion formula:
Wherein, The influence degree of construction uncertainty generated by the energy source type i is represented;
Calculating according to time, and calculating a mechanical energy consumption carbon emission difference proportion formula:
Wherein, The influence degree of construction uncertainty generated by all mechanical energy sources in the t time period is represented;
S340, regarding the labor force difference,
The artificial carbon emission value calculation formula:
Wherein, Representing the actual daily consumption of the construction work type i in the t time period; Representing the theoretical daily consumption of construction work species i in the t time period; representing the carbon emission factor of construction type i;
according to construction work type calculation, an artificial carbon emission difference proportion calculation formula is as follows:
Wherein, Representing the influence degree of construction uncertainty generated by construction type i;
calculating according to time, and calculating a formula of the artificial carbon emission difference proportion:
Wherein, And the influence degree of the construction uncertainty generated manually in the t time period is shown.
A system for quantifying the extent of influence of construction uncertainty on construction carbon emissions, the system having program modules corresponding to the steps described above, the steps in the method for quantifying the extent of influence of construction uncertainty on construction carbon emissions described above being executed at run-time.
A computer readable storage medium storing a computer program configured to implement, when invoked by a processor, the steps of a method of quantifying the extent to which construction uncertainty affects construction carbon emissions.
Compared with the prior art, the invention has the beneficial effects that:
The invention relates to a method and a system for quantifying the influence degree of construction uncertainty on construction carbon emission, which are used for collecting construction theoretical consumption data comprising material theoretical consumption, mechanical energy theoretical consumption and manual shift theoretical consumption and construction actual consumption data comprising material actual consumption, mechanical energy actual consumption and manual shift actual consumption, carrying out difference values according to various classifications or structural parts and multiplying corresponding carbon emission factors to quantify the influence degree of the construction uncertainty, carrying out differential analysis on quantified data, carrying out early warning prompt according to the intensity, proportion overrun and abnormal fluctuation problem of the influence of the construction uncertainty, helping various construction projects rapidly analyze the influence of the construction uncertainty on the construction carbon emission, and further providing management guidance and decision basis for construction management and low-carbon construction. In the prior art, theoretical carbon emission is analyzed, and the method realizes the accurate quantification of the influence of construction uncertainty on carbon emission for the first time, and has important significance in aspects of construction management, standard establishment, energy conservation and emission reduction and benefit evaluation:
1. In the aspect of construction management, through the accurate quantification of the carbon emission caused by construction uncertainty, abnormal fluctuation of the carbon emission intensity can be determined, on one hand, the abnormal fluctuation is warned to give attention to management personnel, on the other hand, the rationality of resource allocation and resource consumption is determined according to abnormal fluctuation analysis, and targeted construction management measures are formulated for unreasonable resource allocation and resource consumption, so that real-time dynamic deviation correction of projects is realized.
2. In the aspect of standard establishment, the carbon emission range influenced by construction uncertainty can be accurately embodied through accurately quantifying the construction uncertainty carbon emission, and the carbon emission range is combined with theoretical carbon emission, so that differentiated construction carbon emission standards are formulated according to different project conditions.
3. In the aspect of energy conservation and emission reduction, the method is beneficial to realizing strong supervision of government on the energy conservation and emission reduction effect in the construction process by accurately quantifying the construction uncertainty carbon emission, so as to supervise the fine management of the carbon emission in the construction stage of the building project and achieve the purposes of energy conservation and emission reduction.
4. In the aspect of benefit evaluation, the construction management level and the energy conservation and emission reduction effect of projects can be accurately evaluated through the accurate quantification of construction uncertainty carbon emission, the evaluation after project implementation is realized, and guidance is provided for construction of other projects.
Drawings
Fig. 1 is a flowchart of a method for quantifying the influence of construction uncertainty on construction carbon emission in an embodiment of the present invention.
Detailed Description
In the description of the present invention, it should be noted that the terms "first," "second," and "third" mentioned in the embodiments of the present invention are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first", "a second", or a third "may explicitly or implicitly include one or more such feature.
In order that the above objects, features and advantages of the invention will be readily understood, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
The invention provides a method for quantifying the influence degree of construction uncertainty on construction carbon emission, which is shown in fig. 1, and comprises the following steps:
S100, collecting construction theoretical consumption data, wherein the construction theoretical consumption data comprise material theoretical consumption, mechanical energy theoretical consumption and manual shift theoretical consumption;
s110, the theoretical consumption of the material is derived through a 3D BIM model of a construction project;
The 3D BIM model is built by using the widely-connected computing quantity software/European-Tex REVIT modeling software, namely, three-dimensional presentation of a two-dimensional design drawing is a necessary workflow in a construction stage;
The theoretical consumption of the material is calculated by the component data derived from the 3D BIM model of the construction project, and the specific formula is as follows:
Wherein, Representing the theoretical total consumption of building material i (host material or turnover material); representing the model usage of building material i (host material or turnover material) derived by 3D BIM model; Representing the theoretical recovery coefficient of the building material i selected according to the specifications and literature; The theoretical loss rate of the building material i selected according to the specifications and literature is represented; The turnover number of the building material i is represented, the turnover number of the main material is 1, and the turnover number of the turnover material is valued according to the standard specification;
s120, the mechanical energy theoretical consumption comprises material off-site transportation energy theoretical consumption and on-site mechanical construction theoretical energy consumption, wherein the material off-site transportation energy theoretical consumption is obtained according to the mechanical type, the mechanical quantity, the transportation distance, the load and the mechanical hundred kilometer energy consumption, and the on-site mechanical construction energy theoretical consumption is calculated according to the time for advancing and retreating the field, the mechanical type, the mechanical quantity, the number of shifts, the energy consumption type and the shift energy consumption in a mechanical resource schedule;
The theoretical consumption of mechanical energy mainly comprises the consumption of mechanical off-site transportation energy and the consumption of mechanical on-site construction energy, and the specific calculation formula is as follows:
Wherein, Represents the theoretical total consumption of the energy source class i; representing the quantity of consumed energy i per unit distance under the rated load capacity of the transport machinery type specification j; representing the equivalent total transport distance of the transport machinery under the rated load capacity of the type specification j; representing the quantity of consumed energy i of each working table of the construction machine type specification k; representing the equivalent work table number of the construction machine type specification k; A shift correction coefficient representing a construction machine type specification k; Representing the total weight of building materials transported to a construction site from a transportation point I by the transportation machine type specification j; a rated load capacity representing a transport machine type specification j; S Machine for making food represents the distance from the transportation point l to the construction site; Representative of
The date of approach of machine h in construction machine category specification k; Representing the departure date of machine h in construction machine type specification k;
s130, the theoretical consumption of the manual shift is obtained according to a human resource input plan;
The artificial theoretical consumption is obtained according to a human resource input plan, and a specific calculation formula is as follows:
Wherein, Representing theoretical total artificial daily consumption of the worker species i; a work day correction coefficient representing a worker work species i; Representing the number of workers of worker class i in a period of t j; representing construction duration;
S200, collecting construction actual consumption data, wherein the construction actual consumption data comprise material actual consumption, mechanical energy actual consumption and manual shift actual consumption corresponding to construction theoretical consumption data;
The method comprises the steps that for projects without a steel bar processing area and a concrete mixing station, building material consumption without secondary processing is directly obtained by an intelligent wagon balance, building materials needing secondary processing are required to be subjected to platform butt joint by a concrete ordering system and a steel number intelligent processing center ordering system outside the projects, data of actual distribution concrete and processed steel are obtained, the data comprise processing time, material types, use positions, demand, raw material input amount and processing loss rate;
S210, directly acquiring the construction material consumption without secondary processing through an intelligent wagon balance for a project without a reinforced bar processing area and a concrete mixing station, acquiring the data of actually distributing concrete and processing steel according to a concrete ordering system and a steel number intelligent processing center ordering system when the construction material without secondary processing is needed, wherein the material consumption of secondary processing is valued according to historical experience data, namely, a part of construction materials are input through the intelligent wagon balance, and the rest part of construction materials are directly input through the steel number intelligent processing center/the intelligent mixing station outside the project;
for the project without a steel bar processing area and a concrete mixing station and the project with a steel number intelligent processing center/a concrete intelligent mixing station, the calculation formulas of the consumption of project building materials by utilizing the intelligent wagon balance are as follows:
Wherein, Representing the actual total consumption of the project building material i (body material or turnover material) obtained by the intelligent wagon balance; Representing the total input of the project building material i (body material or turnover material) obtained by the intelligent wagon balance;
Representing the amount of recovered excess material of the project building material i (body material or turnover material) obtained by the intelligent wagon balance; representing the amount of recycled scrap of the project construction material i (body material or turnover material) obtained by the intelligent wagon balance;
Wherein:
Wherein, Representing the mechanical dead weight at the mth transportation and the weight of the loaded building material when the building material i (body material or turnover material) measured by the intelligent wagon balance is input into the project; the mechanical dead weight of the mth transportation when the building material i (main body material or turnover material) measured by the intelligent wagon balance is input into the project; Indicating the mechanical dead weight at the nth transportation and the weight of the loaded building material when the surplus of the building material i (main body material or turnover material) measured by the intelligent wagon balance is output to the project; The mechanical dead weight of the nth transportation is shown when the surplus building material i (main body material or turnover material) measured by the intelligent wagon balance is output to the project; Representing the mechanical dead weight at the v-th transportation and the weight of the loaded building material when the construction material i (body material or turnover material) waste measured by the intelligent wagon balance is output to the project; representing the mechanical dead weight of the v-th transportation when the construction material i (main body material or turnover material) waste measured by the intelligent wagon balance is output to the project;
for projects without a steel bar processing area and a concrete mixing station, the consumption of the secondary processing building materials obtained by a steel number intelligent processing center/concrete intelligent mixing station ordering system is as follows:
Wherein, Representing the actual total consumption of the secondary processing building material j of the project, which is acquired by a steel material number intelligent processing center/concrete intelligent mixing station ordering system; The input quantity of the t th batch of the secondary processing building materials j of the project, which is acquired by a steel material number intelligent processing center/concrete intelligent mixing station ordering system, is represented; The loss rate of the t-th processing process of the secondary processing building material j obtained by a steel material number intelligent processing center/concrete intelligent mixing station ordering system is represented; Representing the total output of the t th batch of secondary processing building materials j obtained by a steel material number intelligent processing center/concrete intelligent mixing station ordering system; Representing the total input quantity of the raw materials of the t th batch of the secondary processing building materials j obtained by a steel material number intelligent processing center/concrete intelligent mixing station ordering system;
S220, acquiring the actual consumption of the mechanical energy comprises electric power consumption data acquisition and oil consumption data acquisition, wherein the electric power consumption data acquisition comprises off-site transportation activities and on-site construction activities, the off-site transportation activities are oil consumption, and the on-site construction activities are divided into electric power consumption and oil consumption;
The method comprises the steps of acquiring power consumption data and accumulated power consumption data implemented by a project by installing power monitoring equipment at a project unified power supply hub, wherein the power consumption data comprises power consumption, real-time current, real-time voltage and active power of each hour/each day/each week/each month of the project, the power consumption data is larger than the power consumption data in statistics difficulty, acquiring mechanical name types, real-time working states, duty ratio of each working state, accumulated idle time, accumulated normal working time and each working state/each month/accumulated fuel consumption data through the fuel consumption monitoring equipment, acquiring daily/weekly/monthly fuel consumption data of the mechanical equipment of each part by adopting unified management of fuel for the mechanical equipment without installing the monitoring equipment in the project, and calculating the mechanical energy consumption generated by the external transportation of the building materials one by combining with the information of the weight, the transportation track route, the average speed and the vehicle type of each vehicle acquired by intelligent wagon, and finally acquiring the mechanical energy consumption generated by the external transportation of all materials;
In particular to the preparation method of the composite material,
Wherein, Representing the actual total consumption of the energy class i; representing the quantity of consumed energy i per unit distance under the rated load capacity of the transport machinery type specification j; Representing the path mileage of the machine h in the transport machine type specification j during the p-th transport; Representing the load capacity of the machine h in the p-th transportation in the transportation machine type specification j; a rated load capacity representing a transport machine type specification j; Representing a speed correction coefficient of the machine h in the p-th transportation in the transportation machine type specification j; representing the quantity of energy i consumed by the machine h in the construction machine type specification k in the t period; Representing the quantity of consumed energy i in the period t of the construction machine without the oil consumption detection device in the project;
s230, the actual consumption data of the manual shift can be used for acquiring data of constructors and managers participating in project construction every day through a project access control system and an attendance checking system, wherein the data comprises personnel classification, daily attendance number, working time and working time details, daily/weekly/monthly/accumulated total hours;
the manual actual consumption is obtained according to the project access control system or the attendance system, the labor input condition of each daily work is obtained, and a specific calculation formula is shown as follows:
Wherein, Representing the actual total worker daily consumption of the worker species i; Representing the working time of a worker h on a j th day in a worker species i; representing the work time of the j th day of the worker h in the artificial species i;
S300, quantifying the influence degree of construction uncertainty, namely calculating the construction theoretical consumption data obtained in the step S100 and the construction actual consumption data obtained in the step S200, wherein the calculation comprises the steps of respectively calculating the difference value of each part of construction theoretical consumption data and construction actual consumption data, wherein the difference value is the influence of the construction uncertainty on the construction consumption, and the quantification of the influence degree of the construction uncertainty on the construction carbon emission can be realized by multiplying the corresponding carbon emission factor by the difference value;
the carbon emission factors are obtained from the carbon emission measurement standards of the state/province, the carbon emission factors of people are fixed, the carbon emission factors of different mechanical types and models are different, and the carbon emission factors of different material types are also different;
In consideration of the fact that the carbon emission of the building material has high duty ratio in construction carbon emission and is greatly influenced by construction uncertainty, further comparative analysis on theoretical carbon emission and actual carbon emission of the building material is necessary, the invention particularly marks the types and the amounts of materials required by each structural part in the measurement of the theoretical carbon emission of the building material, and in the acquisition of the actual carbon emission data of the building material, the intelligent wagon balance, the intelligent mixing station and the intelligent steel bar processing area all mark the construction part which is ordered each time, therefore, the invention can carry out the difference of the construction theoretical carbon emission and the actual carbon emission according to the structural part, further quantify the influence degree of the construction uncertainty,
S310, a total difference value calculation formula:
ΔC=ΔC Material and method for producing the same +ΔC Machine for making food +ΔC Human body (14)
Wherein ΔC represents the total difference between theoretical and actual carbon emissions, ΔC Material and method for producing the same represents the difference between theoretical and actual carbon emissions of the material, ΔC Machine for making food represents the difference between mechanical and actual carbon emissions, and ΔC Human body represents the difference between artificial and actual carbon emissions;
Total difference proportion calculation formula:
Wherein C Theory of represents the theoretical total carbon emission, eta represents the degree of influence of the overall construction uncertainty;
s320, for the material differences,
And a material carbon emission difference value calculation formula:
Wherein, Representing the actual consumption of material i; Representing the theoretical consumption of material i; represents the carbon emission factor of material i;
calculating according to the material types, and calculating a material carbon emission difference proportion formula:
Wherein, Representing the degree of influence of the construction uncertainty generated by the material i;
s330, for the difference of mechanical energy consumption,
Mechanical energy consumption carbon emission difference calculation formula:
Wherein, Representing the actual energy consumption of the construction machine i in the t time period; representing the theoretical energy consumption of the construction machine i in the t time period; a carbon emission factor representing the energy class i;
Calculating according to the energy types, and calculating a mechanical energy consumption carbon emission difference proportion formula:
Wherein, The influence degree of construction uncertainty generated by the energy source type i is represented;
Calculating according to time, and calculating a mechanical energy consumption carbon emission difference proportion formula:
Wherein, The influence degree of construction uncertainty generated by all mechanical energy sources in the t time period is represented;
S340, regarding the labor force difference,
The artificial carbon emission value calculation formula:
Wherein, Representing the actual daily consumption of the construction work type i in the t time period; Representing the theoretical daily consumption of construction work species i in the t time period; representing the carbon emission factor of construction type i;
according to construction work type calculation, an artificial carbon emission difference proportion calculation formula is as follows:
Wherein, Representing the influence degree of construction uncertainty generated by construction type i;
calculating according to time, and calculating a formula of the artificial carbon emission difference proportion:
Wherein, Representing the influence degree of the construction uncertainty generated manually in the t time period;
s400, analyzing the construction uncertainty influence obtained in the step S300, and decomposing the uncertainty influence into three parts, namely a material part, a mechanical energy consumption part and a manual part. The method comprises the steps of counting materials according to the types of the materials, counting mechanical energy consumption according to the types of energy sources and time, counting manually according to construction work types and time, calculating and analyzing the total difference value, difference proportion, positive difference (the theoretical value is larger than the actual value), negative difference (the theoretical value is smaller than the actual value) and the like of theoretical value and the actual value under each classification, and performing difference display through diversified chart display methods such as a histogram, a line graph, a pie graph and the like, so that a manager can dynamically know the conditions of intensity, duty ratio, fluctuation abnormality and the like of influence of construction uncertainty under different classification scales in real time. The method is characterized in that the method is used for further analyzing the conditions in combination with factors such as construction progress and field management, early warning prompt is carried out on uncertainty influence abnormality of the actual construction conditions which are not met, important attention is paid to content with large uncertainty influence fluctuation, and timely intervention is carried out on content which can be improved through management measures, so that the construction management targets such as resource allocation optimization, management efficiency improvement, emission reduction strategy optimization and the like are finally achieved.
The invention provides a quantification system of the influence degree of construction uncertainty on construction carbon emission, which is provided with a program module corresponding to the steps, and the steps in the quantification method of the influence degree of construction uncertainty on construction carbon emission are executed in running.
Other combinations and connection relationships of this embodiment are the same as those of the first embodiment.
The third embodiment provides a computer readable storage medium storing a computer program configured to implement the steps of a method for quantifying the extent of influence of construction uncertainty on construction carbon emissions when called by a processor.
Other combinations and connection relationships of this embodiment are the same as those of the first embodiment.
Although the present disclosure is disclosed above, the scope of the present disclosure is not limited thereto. Various changes and modifications may be made by one skilled in the art without departing from the spirit and scope of the disclosure, and such changes and modifications would be within the scope of the disclosure.
Claims (9)
1. The method for quantifying the influence degree of construction uncertainty on construction carbon emission is characterized by comprising the following steps of:
S100, collecting construction theoretical consumption data, wherein the construction theoretical consumption data comprise material theoretical consumption, mechanical energy theoretical consumption and manual shift theoretical consumption;
S200, collecting construction actual consumption data, wherein the construction actual consumption data comprise material actual consumption, mechanical energy actual consumption and manual shift actual consumption corresponding to the construction theoretical consumption data in the step S100;
S300, quantifying the influence degree of construction uncertainty, calculating a difference value according to category classification for the construction theoretical consumption data acquired in the step S100 and the construction actual consumption data acquired in the step S200, and multiplying the difference value by a corresponding carbon emission factor to quantify the influence degree of construction uncertainty of a corresponding part on construction carbon emission;
s400, analyzing the construction uncertainty influence obtained in the step S300, drawing a multi-element icon display by calculating the total difference value, the difference proportion, the positive difference condition and the negative difference condition of the theoretical value and the actual value under each category, enabling the platform to perform abnormal early warning prompt according to the intensity, the proportion overrun and the abnormal fluctuation problem of the construction uncertainty influence, performing difference reason analysis by combining longitudinal difference comparison based on time spans and transverse difference comparison based on related items/types, and providing construction management suggestion for focusing on key links and optimizing emission reduction strategies according to the difference reason analysis.
2. The method for quantifying the extent of influence of construction uncertainty on construction carbon emissions according to claim 1, comprising, in step S100:
The theoretical consumption of the material is calculated by means of component data derived from a 3D BIM model of a construction project:
Wherein, Representing the theoretical total consumption of building material i (host material or turnover material); representing the model quantity of building material i (host material or turnover material) derived by the 3DBIM model; Representing the theoretical recovery coefficient of the building material i selected according to the specifications and literature; R i Material and method for producing the same represents the turnover number of the building material i, the turnover number of the main body material is 1, and the turnover number of the turnover material is valued according to the standard specification;
The mechanical energy theoretical consumption comprises material off-site transportation energy theoretical consumption and on-site mechanical construction theoretical energy consumption, the material off-site transportation energy theoretical consumption is obtained according to the transportation distance, the load and the mechanical hundred kilometer energy consumption, and the on-site mechanical construction energy theoretical consumption is calculated according to the time and the quantity of the entering and exiting fields in a mechanical resource schedule:
Wherein, Represents the theoretical total consumption of the energy source class i; representing the quantity of consumed energy i per unit distance under the rated load capacity of the transport machinery type specification j; representing the equivalent total transport distance of the transport machinery under the rated load capacity of the type specification j; representing the quantity of consumed energy i of each working table of the construction machine type specification k; representing the equivalent work table number of the construction machine type specification k; A shift correction coefficient representing a construction machine type specification k; Representing the total weight of building materials transported to a construction site from a transportation point I by the transportation machine type specification j; a rated load capacity representing a transport machine type specification j; Representing the equivalent transportation times from the transportation point l to the construction site of the transportation machine type specification j, and rounding up the times; s Machine for making food represents a distance from the transportation point l to the construction site; representing the entry date of machine h in construction machine type specification k; Representing the departure date of machine h in construction machine type specification k;
The theoretical consumption of the manual shift is obtained according to a human resource input plan:
Wherein, Representing theoretical total artificial daily consumption of the worker species i; a work day correction coefficient representing a worker work species i; Representing the number of workers of worker class i in a period of t j; Representing construction duration.
3. The method for quantifying the effect of construction uncertainty on construction carbon emissions according to claim 2, wherein in step S200, the collection of the actual consumption of material comprises,
For the project without the steel bar processing area and the concrete mixing station, a part of building materials are input through an intelligent wagon balance, and the rest part of building materials are directly input through a steel number intelligent processing center/concrete intelligent mixing station outside the project, wherein the building material consumption without secondary processing is obtained through the intelligent wagon balance;
for the project without a steel bar processing area and a concrete mixing station and the project with a steel number intelligent processing center/a concrete intelligent mixing station, the calculation formulas of the consumption of project building materials by utilizing the intelligent wagon balance are as follows:
Wherein, Representing the actual total consumption of the project building material i obtained by the intelligent wagon balance; Representing the total input of the project building material i obtained by the intelligent wagon balance; representing the recovered excess material quantity of the project building material i obtained by the intelligent wagon balance; Representing the amount of recycled waste of the project building material i obtained by the intelligent wagon balance;
Wherein:
Wherein, Representing the mechanical dead weight of the mth transportation and the weight of the loaded building material when the building material i measured by the intelligent wagon balance is input into the project; The mechanical dead weight of the mth transportation when the building material i measured by the intelligent wagon balance is input into the project is shown; representing the mechanical dead weight and the weight of the loaded building material when the building material i remainder is output from the project, which are measured by the intelligent wagon balance, for the nth transportation; The mechanical dead weight of the nth transportation is shown when the i remainder of the building material measured by the intelligent wagon balance is output to the project; Representing the mechanical dead weight of the v-th transportation and the weight of the loaded building material when the building material i waste measured by the intelligent wagon balance is output to the project; the mechanical dead weight of the v-th transportation when the building material i waste measured by the intelligent wagon balance is output to the project is shown;
for projects without a steel bar processing area and a concrete mixing station, the consumption of the secondary processing building materials obtained by a steel number intelligent processing center/concrete intelligent mixing station ordering system is as follows:
Wherein, Representing the actual total consumption of the secondary processing building material j of the project, which is acquired by a steel material number intelligent processing center/concrete intelligent mixing station ordering system; The input quantity of the t th batch of the secondary processing building materials j of the project, which is acquired by a steel material number intelligent processing center/concrete intelligent mixing station ordering system, is represented; The loss rate of the t-th processing process of the secondary processing building material j obtained by a steel material number intelligent processing center/concrete intelligent mixing station ordering system is represented; Representing the total output of the t th batch of secondary processing building materials j obtained by a steel material number intelligent processing center/concrete intelligent mixing station ordering system; The total input of the raw materials of the t th batch of the secondary processing building materials j obtained by a steel material number intelligent processing center/concrete intelligent mixing station ordering system is shown.
4. The method for quantifying the influence degree of construction uncertainty on construction carbon emission according to claim 3, wherein in the step S200, the collection of the actual consumption of mechanical energy comprises collection of off-site transportation activities and collection of on-site construction activities, wherein the off-site transportation activities are oil consumption, the on-site construction activities are divided into electric consumption and oil consumption, the electric consumption data are obtained by installing electric monitoring equipment at a unified power supply hub, the electric consumption data and accumulated electric consumption data are obtained by the electric consumption data, the oil consumption data collection comprises the steps of carrying out data collection on mechanical equipment with oil consumption monitoring devices installed in the project through the oil consumption monitoring devices, carrying out mechanical working state, real-time oil consumption and accumulated oil consumption conditions, carrying out unified management on mechanical equipment without the oil consumption monitoring devices installed in the project, obtaining daily/weekly/monthly data of the mechanical equipment by adopting oil unified management, and calculating the material weight, transportation route, average speed, vehicle type and other information of each vehicle to be transported to the construction site by combining intelligent site to obtain all the mechanical energy consumption generated by the off-site transportation.
5. The method for quantifying the influence degree of construction uncertainty on construction carbon emission according to claim 4, wherein the collection of the actual consumption of mechanical energy comprises collection of electric power consumption data and oil consumption data, and specifically comprises,
Wherein, Representing the actual total consumption of the energy class i; representing the quantity of consumed energy i per unit distance under the rated load capacity of the transport machinery type specification j; Representing the path mileage of the machine h in the transport machine type specification j during the p-th transport; Representing the load capacity of the machine h in the p-th transportation in the transportation machine type specification j; a rated load capacity representing a transport machine type specification j; Representing a speed correction coefficient of the machine h in the p-th transportation in the transportation machine type specification j; representing the quantity of energy i consumed by the machine h in the construction machine type specification k in the t period; representing the amount of energy i consumed in the period t of the construction machine in which the fuel consumption detection device is not installed.
6. The method for quantifying the influence of construction uncertainty on construction carbon emission according to claim 5, wherein in step S200, the actual consumption data of the manual shift is obtained by a door control system or an attendance system as constructor and manager data of daily participating project construction,
Wherein, Representing the actual total worker daily consumption of the worker species i; Representing the working time of a worker h on a j th day in a worker species i; representing the time of work hours of the j th day of the worker h in the artificial species i.
7. The method for quantifying the effect of construction uncertainty on construction carbon emissions according to claim 6, wherein, in step S300, specifically comprising,
S310, a total difference value calculation formula:
ΔC=ΔC Material and method for producing the same +ΔC Machine for making food +ΔC Human body (14)
Wherein ΔC represents the total difference between theoretical and actual carbon emissions, ΔC Material and method for producing the same represents the difference between theoretical and actual carbon emissions of the material, ΔC Machine for making food represents the difference between mechanical and actual carbon emissions, and ΔC Human body represents the difference between artificial and actual carbon emissions;
Total difference proportion calculation formula:
Wherein C Theory of represents the theoretical total carbon emission, eta represents the degree of influence of the overall construction uncertainty;
s320, for the material differences,
And a material carbon emission difference value calculation formula:
wherein EF i Material and method for producing the same represents the carbon emission factor of material i;
calculating according to the material types, and calculating a material carbon emission difference proportion formula:
Wherein, Representing the degree of influence of the construction uncertainty generated by the material i;
s330, for the difference of mechanical energy consumption,
Mechanical energy consumption carbon emission difference calculation formula:
wherein EF i Machine for making food represents the carbon emission factor of the energy class i;
Calculating according to the energy types, and calculating a mechanical energy consumption carbon emission difference proportion formula:
Wherein, The influence degree of construction uncertainty generated by the energy source type i is represented;
Calculating according to time, and calculating a mechanical energy consumption carbon emission difference proportion formula:
Wherein, The influence degree of construction uncertainty generated by all mechanical energy sources in the t time period is represented;
S340, regarding the labor force difference,
The artificial carbon emission value calculation formula:
Wherein, Representing the actual daily consumption of the construction work type i in the t time period; EF i Human body represents the carbon emission factor of the construction work species i;
according to construction work type calculation, an artificial carbon emission difference proportion calculation formula is as follows:
Wherein, Representing the influence degree of construction uncertainty generated by construction type i;
calculating according to time, and calculating a formula of the artificial carbon emission difference proportion:
Wherein, And the influence degree of the construction uncertainty generated manually in the t time period is shown.
8.A system for quantifying the extent of the effect of construction uncertainty on construction carbon emissions, characterized in that it has program modules corresponding to the steps of any one of the claims 1 to 7, and in that it is executed at run-time with the steps of the method for quantifying the extent of the effect of construction uncertainty on construction carbon emissions.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program configured to implement the steps of the method for quantifying the extent of influence of construction uncertainty on construction carbon emissions according to any one of claims 1-7 when called by a processor.
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